Epilepsy is a common neurological disorder characterized by recurrent and disabling
seizures. An increasing number of clinical and experimental applications of machine …

Artificial intelligence (AI) is rapidly transforming health care, and its applications in epilepsy
have increased exponentially over the past decade. Integration of AI into epilepsy …

Objective The accurate prediction of seizure freedom after epilepsy surgery remains
challenging. We investigated if (1) training more complex models,(2) recruiting larger …

Given improvements in computing power, artificial intelligence (AI) with deep learning has
emerged as the state-of-the art method for the analysis of medical imaging data and will …

Background Epilepsy is one of the most common neurological disorders. Approximately, one-
third of patients with epilepsy have seizures refractory to antiepileptic drugs and further …

Deep learning (DL) image quality improvement has been studied for application to 18F-
fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG …

UK Biobank is a large-scale epidemiological resource for investigating prospective
correlations between various lifestyle, environmental, and genetic factors with health and …

Introduction Drug‐resistant epilepsy patients show worse outcomes after resection when
standard neuroimaging is nonlesional, which occurs in one‐third of patients. In prior work …

OBJECTIVE Positron emission tomography (PET) imaging has assumed an essential role in
the presurgical evaluation of epileptogenic foci in drug-resistant epilepsy by identifying the …

Purpose To establish and validate a novel nomogram based on clinical characteristics and
[18 F] FDG PET radiomics for the prediction of postsurgical seizure freedom in patients with …